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DBMS > Datastax Enterprise vs. LevelDB vs. Microsoft Access vs. YugaByte DB

System Properties Comparison Datastax Enterprise vs. LevelDB vs. Microsoft Access vs. YugaByte DB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonYugaByte DB  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)High-performance distributed SQL database for global, internet-scale applications
Primary database modelWide column storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.82
Rank#43  Overall
#4  Wide column stores
Score2.81
Rank#89  Overall
#16  Key-value stores
Score129.47
Rank#9  Overall
#6  Relational DBMS
Score0.64
Rank#187  Overall
#90  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisegithub.com/­google/­leveldbproducts.office.com/­en-us/­accesswww.yugabyte.com
Technical documentationdocs.datastax.comgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxdocs.yugabyte.com
github.com/­YugaByte/­yugabyte-db
DeveloperDataStaxGoogleMicrosoftYugaByte
Initial release2011201119922017
Current release6.7, December 20181.22, May 20191902 (16.0.11328.20222), March 20191.2, March 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0, enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C and C++
Server operating systemsLinux
OS X
Illumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Data schemeschema-freeschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesnoyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoyes infobut not compliant to any SQL standardyes, PostgreSQL compatible
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
C++ API
Go
Java infoThird party binding
Node.js infoThird party binding
Python infoThird party binding
ADO.NET
DAO
ODBC
OLE DB
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineno
Triggersyesnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"nonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnonenoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infobut no files for transaction loggingyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users can be defined per objectnono infoa simple user-level security was built in till version Access 2003yes
More information provided by the system vendor
Datastax EnterpriseLevelDBMicrosoft AccessYugaByte DB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Datastax EnterpriseLevelDBMicrosoft AccessYugaByte DB
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